Lead AI Engineer at NITYO INFOTECH CORPORATION
California, California, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Dec, 26

Salary

120000.0

Posted On

14 Oct, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Summary

Job Description

Role: Lead AI Engineer

Location: Santa Clara, CA (Onsite)

Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use. The individual will drive solution design, guide development teams, build multi-agent AI systems, and ensure scalable, secure, and reliable deployment in production environments.

Scope of Work

  • Lead architecture and solution design for Agentic AI applications.
  • Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
  • Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
  • Guide engineering teams and establish development best practices.
  • Develop enterprise integrations, APIs, and event-driven AI services.
  • Drive deployment, operationalization, and scalability of AI applications.
  • Coordinate with platform, security, data, and product teams to ensure successful delivery.
  • Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Must-Have Skills

  • 5+ years of experience in AI/ML.
  • 1+ years of experience building Agentic AI solutions.
  • Strong expertise in Python and modern software engineering practices.
  • Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
  • Experience architecting and deploying enterprise AI applications.
  • Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
  • Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
  • Proven ability to lead technical initiatives and drive solution delivery.
  • Excellent communication, stakeholder management, and problem-solving skills.
  • Experience with enterprise data integration and AI application deployment.

Good-to-Have Skills

  • Databricks
  • MLOps / LLMOps
  • Enterprise AI Governance and Security
  • AI Monitoring and Observability
  • Enterprise AI Architecture and Strategy

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

  • Dice Id: 10200946b


Responsibilities

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